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Zhenyue Qin
Zhenyue Qin
Other names秦 震岳
Tencent XR Vision Labs
Verified email at anu.edu.au - Homepage
Title
Cited by
Cited by
Year
Invertible denoising network: A light solution for real noise removal
Y Liu, Z Qin, S Anwar, P Ji, D Kim, S Caldwell, T Gedeon
2021 Conference on Computer Vision and Pattern Recognition (CVPR), 2021
512021
Rethinking softmax with cross-entropy: Neural network classifier as mutual information estimator
Z Qin, D Kim, T Gedeon
2021 International Conference on Machine Learning (ICML-XAI), 2019
44*2019
Winter wheat identification by integrating spectral and temporal information derived from multi-resolution remote sensing data
X ZHANG, J LIU, Z Qin, QIN Fen
Journal of Integrative Agriculture 18 (11), 2628-2643, 2019
172019
Visual saliency maps can apply to facial expression recognition
Z Qin, J Wu
arXiv preprint arXiv:1811.04544, 2018
142018
Fusing higher-order features in graph neural networks for skeleton-based action recognition
Z Qin, Y Liu, P Ji, D Kim, L Wang, B McKay, S Anwar, T Gedeon
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
122021
Detecting the Doubt Effect and Subjective Beliefs Using Neural Networks and Observers’ Pupillary Responses
X Zhu, Z Qin, T Gedeon, R Jones, MZ Hossain, S Caldwell
International Conference on Neural Information Processing, 610-621, 2018
102018
Neural networks assist crowd predictions in discerning the veracity of emotional expressions
Z Qin, T Gedeon, S Caldwell
International Conference on Neural Information Processing, 205-216, 2018
62018
Are deep neural architectures losing information? Invertibility is indispensable
Y Liu, Z Qin, S Anwar, S Caldwell, T Gedeon
2020 International Conference on Neural Information Processing (ICONIP), 2020
52020
Your eyes say you’re lying: an eye movement pattern analysis for face familiarity and deceptive cognition
J Zuo, T Gedeon, Z Qin
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
52019
TeamGL at ACRV robotic vision challenge 1: probabilistic object detection via staged non-suppression ensembling
D Li, C Xu, Y Liu, Z Qin
CVPR Workshop on the Robotic Vision Probabilistic Object Detection Challenge, 2019
52019
Disentangling noise from images: A flow-based image denoising neural network
Y Liu, S Anwar, Z Qin, P Ji, S Caldwell, T Gedeon
arXiv preprint arXiv:2105.04746, 2021
42021
Why don't the modules dominate?
Z Qin, T Gedeon, RI McKay
2018 Genetic and Evolutionary Computation Conference (GECCO), 2018
42018
Position-sensing graph neural networks: Proactively learning nodes relative positions
Z Qin, S Anwar, D Kim, Y Liu, P Ji, T Gedeon
IEEE Transactions on Neural Networks and Learning Systems (TNNLS …, 2021
22021
Anomalies in the behavior of a modularity inducing problem domain
Z Qin, T Gedeon, RI McKay
2019 Artificial Life Conference (ALIFE), 2019
22019
ANUBIS: Review and Benchmark Skeleton-Based Action Recognition Methods with a New Dataset
Z Qin, Y Liu, M Perera, S Anwar, T Gedeon, P Ji, D Kim
Under Review, 2022
12022
Resolving Anomalies in the Behaviour of a Modularity-Inducing Problem Domain with Distributional Fitness Evaluation
Z Qin, B McKay, T Gedeon
MIT Artificial Life Journal (ALIFEJ), 2022
1*2022
Classification Models for Medical Data with Interpretative Rules
X Xu, X Ding, Z Qin, Y Liu
International Conference on Neural Information Processing, 227-239, 2021
12021
Anonymization for Skeleton Action Recognition
M Kim, Z Qin, Y Liu, D Kim
arXiv preprint arXiv:2111.15129, 2021
12021
Improving effectiveness and efficiency in wagner’s modularity-evolving artificial gene regulatory networks
Z Qin, R Jin, RIB McKay, T Gedeon
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1162-1170, 2020
12020
Strengthening Skeletal Action Recognizers via Leveraging Temporal Patterns
Z Qin, P Ji, D Kim, Y Liu, S Anwar, T Gedeon
European Conference on Computer Vision RWS (ECCV-RWS), 2022
2022
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